#!/usr/bin/python3 import subprocess import time import random with open("/tmp/x") as f: t = f.read() for c in t: subprocess.call([ "xdotool", "type", c ]) time.sleep(abs(random.gauss(0,0.07)))
And pasted a random Hacker News comment:
Authenticity Score 81 Highly Authentic
Words per minute: 162 Keystroke variance: 52ms Paste attempts: 0 Window/tab switches: 4 Pauses (≥10s): 0 DOM manipulations: 0
You failed.
Is there a way to detect this approach?
Put it this way, let's say someone recorded typing in the paragraph that you presented but saved the keystrokes, pauses, etc. Now they replay it back, with all the pauses and keystrokes, maybe with the `xdotool` as above, how could you possibly know the difference?
Your method is playing a statistical game of key presses, pauses, etc. Anyone who understands your method will probably not only be able to create a distribution that matches what you expect but could, in theory, create something that looks completely inhuman but will sneak past your statistical tests.
Probably you will need to track many signals like those and use a model that takes them all into account.
Do you have any other command line tool recommendations?
> Ah, what a fantastic question
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> What keeps drawing me back? The way it seamlessly blends moral complexity with edge-of-your-seat tension is nothing short of breathtaking. Walter White's transformation isn't just compelling–it's a profound meditation on identity, ambition, and the human condition itself.
> But here's the thing–it's also deeply rewatchable. Every frame is meticulously crafted. Every detail matters. The foreshadowing alone is chef's kiss!
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> In an era of endless content, some shows simply transcend. This is one of them.
> 10/10, would recommend! What's YOUR comfort rewatch? Drop it below!
(HN strips the emojis, but don't worry–they were there)
I scored 100 "Highly Authentic"
Instructions to ChatGPT:
[What's something you pretend to understand but actually don't? Why do you fake it?] Write a 1 paragraph response as if you were a human.
Response:
Honestly, I probably nod along to conversations about highly technical stuff like advanced financial instruments or super niche software internals when I only grasp the surface, because stopping to ask for a full breakdown can derail the moment or make me look out of my depth. It's not about trying to deceive anyone, it's more about social momentum and not wanting to slow things down. And I can fill in the gaps later if I need to.
The “self”-(un)awareness is almost endearing (though some might be your higher level instructions). It summarizes—correctly IME— that it’s basically an ~inept~ typical middle/upper manager/“visionary”, replete with a CorpSpeak promise to circle back and “fill in the gaps”… which it does with the consistency and accuracy of a samesaid cat-turd-ingester.
Does make me wish that the folks nodding along in meatspace would/could be similarly “honest” about this same phenomenon.
"We demonstrate that this class of defenses is insecure against two practical attack classes: the copy-type attack, in which a human transcribes LLM-generated text producing authentic motor signals, and timing-forgery attacks, in which automated agents sample inter-keystroke intervals from empirical human distributions."
https://arxiv.org/abs/2601.17280v1
There are tons of USB dongles available for about $10 containing a programmable microcontroller. You connect to the dongle from another device over wifi and it can act like a keyboard typing out whatever text you want using a model of human typing, perhaps even your own.
- feed it to an llm to answer
- use a tool [1] to emulate human typing cadence.
- Use a tool to send mouse events to the browser window.
[1] https://multilogin.com/blog/paste-as-human-typing/
not sure if you have any feedback at the end but if you do the alternative is feedback poisoning in your training set to mark AI stuff as real and real stuff as fake. The former is automatable and if there were a good reason you could probably mechanical-Turk a large number of people at low cost to do it for real and give feedback that they were actually AIs.
Depending on how high are the stakes, weeding off just the most obvious cases of AI usage may be enough. But wherever an electronic input is involved, it can be emulated in ways that are impossible to detect on a reasonable budget. Content analysis may help somehow, but again it would only detect the more obvious cases.
>We track telemetry such as typing speed, pauses, tab changes, and window focus events.
People figure out ways around this for like...Runescape bots and other low-stake situations. I don't think it would hold up to anything other than casual users. Seems like an agent could whip something up in Auto-HotKey or something.
I get this is the extreme end, but if this gets popular enough, can't you write like a custom 'keyboard' driver that just takes AI input and 'types' it? Random delay between keystrokes, whatever....
It also can't be used to verify existing work, right? I can't see if a student's essay is LLM-written. Is there any real-world use you see? Or is this just a fun toy?
We can easily go one more step than drivers; making a cheap microcontroller enumerate as a USB keyboard is easy.
The only "AI proof" writing tool is those blue books you take exams on in college.
Or perhaps require webcam and do eye tracking?
What, so I can't look up into my memories like I do in a natural conversation?
How would you account for accessibility issues where test takers can't control they're eyes?